| 研究生: |
連怡雯 Win, Sein Lae Yi |
|---|---|
| 論文名稱: |
新建大樓影響周遭天厝自然通風效能之 CFD 模擬分析 The Influence of High-rise Building on Ventilation Performance of the Surrounding Attached Houses in an Urban Renewal Project: CFD Simulations |
| 指導教授: |
賴啟銘
Lai, Chi-Ming |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 土木工程學系 Department of Civil Engineering |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 英文 |
| 論文頁數: | 66 |
| 中文關鍵詞: | 自然通風性能 、計算流體力學 、高層建築物 、風洞試驗 、無因次通⾵量 (Q*) |
| 外文關鍵詞: | Natural ventilation performance, Computational Fluid Dynamics(CFD), High-rise buildings, Wind tunnel test, dimensionless ventilation rate (Q*) |
| 相關次數: | 點閱:103 下載:15 |
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風向和風速是影響建築自然通風性能的關鍵因素。在維持建築物室內舒適環境方面,其它眾多因素如建築物高度、周圍建築形狀及其開口位置也會產生影響。
本研究重點在於從根本上瞭解高層建築對相鄰建築之氣流特性及通風性能的影響。研究方法包括使用與風洞實驗相同的計算流體力學程式(CFD)來建立模型進行模擬。為驗證模型有效性,將之與風洞試驗數據驗比較,獲得較為較吻合的實驗值與預測值。在此基礎上,建立兩個相對開孔和隔間的附屬建築物CFD模型,以探討模擬結果與風洞實驗結果在內外風速、無因次壓力系數和無因次通風量 Q* 方面的差異。研究結果表明,有開孔和隔間的模型在計算Q* 時存在顯著差異,此為實用設計階段為預測高層建築物之周圍建築群的自然通風時需考慮的重要因素。
The wind direction and speed are the key drivers for the natural ventilation performance of the building. However, other multiple factors also influence in maintaining a comfortable indoor environment of the building, such as height, geometric shapes of the surrounding buildings, and location of openings.
This study concentrates on developing a fundamental knowledge of the impacts of a high-rise building on wind flow characteristics and the natural ventilation performance of adjacent structures. The research method includes simulation using a computational fluid dynamics (CFD) program that is identical to the wind tunnel experiment. Primarily, CFD model is validated by comparing with the data obtained from the wind tunnel experiments. A good agreement was found between experimental values and the predicted value. Following that, CFD models with two opposite openings and partitions in attached buildings were developed to investigate the difference of CFD simulation and wind tunnel experiment results in internal and external air velocities, dimensionless pressure coefficient, and dimensionless ventilation rate (Q*) . The results of this study show that models with existing openings and partitions make significant differences in calculating (Q*), which is an important factor to consider in the prediction of natural ventilation of buildings around a high-rise building for the practical design stage.
REFERENCES
Allard, F. & G. and C. Natural Ventilation in the Urban Environment Assessment and Design. Earthscan, London , 2005.
Chen, Q. Ventilation performance prediction for buildings: A method overview and recent Applications, Building and Environment, 44, 4, 2009
Chu, C. & C., R.-Hao & C., J.Wei. A laboratory experiment of shear- induced natural ventilation, Lancet, 43, 2631-2637, 2011.
Chu, C. & C., & W., An experimental study of wind-driven cross ventilation in partitioned buildings, Energy and Buildings, 42, 667-673, 2010
Chu, C. & C., Y.-H & Tsai, Y.Ting & W., S.Lei. Wind-Driven Natural Ventilation for Buildings with Two Openings on the Same External Wall, Energy and Buildings, 108, 365-372, 2015.
Chu, C. Wind-driven cross ventilation with internal obstacles, Energy and Buildings, 67, 201-209, 2013.
Chung, S. Chin & L., Y. Pin & Y., C. & L. Chi-ming. Natural Ventilation Effectiveness of Awning Windows in Restrooms in K-12 Public Schools, Energies, 12, 2414, 2019.
Cóstola, D.& B., B. & H. Overview of pressure coefficient data in building energy simulation and airflow network programs, Building and Environment, 44, 2009.
Etheridge, D.W. and S., M. Building Ventilation—Theory and Measurement, 1996.
Heiselberg, P., & S., M. Evaluation of Discharge Coefficients for Window Openingsin Wind Driven Natural Ventilation, International Journal of Ventilation, 5(1), 43- 52, 2006.
Kuo, C. Yuan & W., R.Jing & L., Y.Pin & L. Chi-ming. Urban Design with the Wind: Pedestrian-Level Wind Field in the Street Canyons Downstream of Parallel High-Rise Buildings, Energies, 13, 2827, 2020.
Lien, J. & A., N. Wind Driven Ventilation for Enhanced Indoor Air Quality., 10.5772/17059, 2011.
LRC (London Research Centre). London Energy Study Report. LRC, London, 1993.
Raman, Ram & Dewang, Yogesh & Raghuwanshi, Jitendra. A review on applications of computational fluid dynamics, 2018.
RodriguesMarques Sakiyama, N.; Frick, J.; Bejat, T.; Garrecht, H. Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach, Energies, 14, 2197, 2021.
Sailor, D., L. A top-down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas, Atmospheric Environment, 38, 17, 2737-2748, 2004.
Santamouris, Mat. Solar and energy efficiency as an option for sustainable urban built Environments. Thermal Solar Technologies for Buildings: The State of the Art, James and James Science Publishers, London, 2003.
Smith, K. R. Workshop on the Energy-Environment Nexus: Indian Issues and Global Impacts, Center for the Advanced Study of India, University of Pennsylvania, Philadelphia, 1994.
UNEPTIE (United Nations Environment Programme: Technology, Industry and Economics). Tomorrow’s Market: Global Trends and their Implications for Business. 2002.1. Josef Leitman: Energy Environment Linkages in the Urban Sector, Discussion Paper, UNDP, New York, 1991.
UNDESA (United Nations Departments of Economic and Social Affairs). World Urbanization Prospects The 2018 Revision. UNDESA, New York, 2018. Air Quality Guidelines, WHO, Geneva, 1999.
World Bank. Indoor Air Pollution Newsletter. Energy and Health for the Poor, No. 2, December, 2000a.
World Bank. Indoor Air Pollution: Fighting a Massive Health Threat in India.World Bank, Washington, D.C., 2000b